麦7 发表于 2019-12-26 15:23:40

求大神来帮我看看为什么这个代码出错

#include<stdio.h>
double k=0;
void main()
{
double num[]={{80.0,82.0,49.2,91.0,100.0},{99.0,56.5,45.0,89.0,101.0},{89.0,88.6,82.0,89.0,102.0},{70.0,71.0,81.0,78.0,103.0}};//数组中的每一行最后一个数便是学号
int p,p1=0;
double *judge(double (*a));
for(p=0;p<4;p++)
{
printf("fail: %lf ",*(judge(num)));
printf("students id: %d \n",k);
}
}
double *judge(double (*a))
{
static int i;
int j,j1;double f=1,*f1=&f;
for(i=0;i<4;i++)
{
for(j=0;j<4;j++)
{
   if((*(*(a+i)+j))<60)
   {
    return *(a+i)+j;
    j1=j+1;
    k=*(*(a+i)+j1);
   
   }
   else return f1;
   
}
}}                                       就是这个题目:对上列中的学生,找出其中有不及格课程的学生及学生号。
data:image/png;base64,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

hrp 发表于 2019-12-27 04:30:19

描述不清,看看有没有大佬帮你

wp231957 发表于 2019-12-28 09:31:25

谁家学号用double类型表示啊
页: [1]
查看完整版本: 求大神来帮我看看为什么这个代码出错